User:Nir London/FunHunt
From Proteopedia
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| - | <applet load='1STF_2.pdb' size='300' frame='true' align='right' caption='Insert caption here' /> | + | <applet load='1STF_2.pdb' size='300' frame='true' align='right' caption='Insert caption here' name='2'/> |
<applet load='1STF_1.pdb' size='300' frame='true' align='left' caption='Insert caption here' /> | <applet load='1STF_1.pdb' size='300' frame='true' align='left' caption='Insert caption here' /> | ||
==Quiz== | ==Quiz== | ||
| - | To the right and left are two docking models for the complex of recombinant human Stefin B with cysteine proteinase Papain. One of the models is correct while the other is incorrect, can you tell which is which ? <scene name='User:Nir_London/FunHunt/1stf_correct/1'>Click here</scene> to color the correct model blue and find out if you were correct. | + | To the right and left are two docking models for the complex of recombinant human Stefin B with cysteine proteinase Papain. One of the models is correct while the other is incorrect, can you tell which is which ? <scene name='User:Nir_London/FunHunt/1stf_correct/1'>Click here</scene> to color the correct model blue and find out if you were correct. Let's try this: color the second one <scene name='User:Nir_London/FunHunt/1stp_2_blue/1' target='2'>blue</scene>. |
==FunHunt== | ==FunHunt== | ||
| - | FunHunt is a classifier of correct protein-protein complex orientations. The input to FunHunt are two possible orientations of a complex. A local docking run is performed on the two complexes using RosettaDock. FunHunt then uses features gathered from these docking runs - representing the local energy landscapes of the orientations, and chooses the near-native orientation among both (assuming that one of the orientations is the near native one). | + | FunHunt <ref>London N., Schueler-Furman O. (2008) Funnel hunting in a rough terrain: learning and discriminating native energy funnels. Structure. 16:269-79. </ref><ref>London N., Schueler-Furman O. (2007) Assessing the energy landscape of CAPRI targets by FunHunt. Proteins. 69:809-15</ref> is a classifier of correct protein-protein complex orientations. The input to FunHunt are two possible orientations of a complex. A local docking run is performed on the two complexes using RosettaDock. FunHunt then uses features gathered from these docking runs - representing the local energy landscapes of the orientations, and chooses the near-native orientation among both (assuming that one of the orientations is the near native one). |
| + | FunHunt is available via the web. Try it! [http://funhunt.furmanlab.cs.huji.ac.il]. | ||
| - | ==Why do we need it ?== | ||
| - | Protein complexes is very important | ||
==References== | ==References== | ||
| - | + | <references/> | |
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Current revision
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Quiz
To the right and left are two docking models for the complex of recombinant human Stefin B with cysteine proteinase Papain. One of the models is correct while the other is incorrect, can you tell which is which ? to color the correct model blue and find out if you were correct. Let's try this: color the second one .
FunHunt
FunHunt [1][2] is a classifier of correct protein-protein complex orientations. The input to FunHunt are two possible orientations of a complex. A local docking run is performed on the two complexes using RosettaDock. FunHunt then uses features gathered from these docking runs - representing the local energy landscapes of the orientations, and chooses the near-native orientation among both (assuming that one of the orientations is the near native one). FunHunt is available via the web. Try it! [1].
